Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
The Data Scientist will design, develop, and deploy machine learning and AI solutions that solve real business challenges across banking, healthcare, and other industries.
You will work across the full AI lifecycle, from data exploration and feature engineering to predictive modelling, machine learning, Generative AI, and MLOps. Working closely with Software Engineers, Technical Leads, and Solution Architects, you will help transform data into intelligent solutions that deliver measurable business value.
Responsibilities
- Design, develop, train, and evaluate machine learning models for predictive analytics and business intelligence.
- Build and optimise classification, regression, clustering, recommendation, forecasting, anomaly detection, and other predictive models.
- Analyse structured and unstructured datasets to uncover business insights and opportunities.
- Prepare, clean, transform, and engineer datasets for machine learning applications.
- Develop, validate, and monitor machine learning models throughout their lifecycle.
- Build and optimise Retrieval-Augmented Generation (RAG) pipelines and Generative AI solutions where applicable.
- Evaluate Large Language Models (LLMs) and improve AI solution performance through prompt engineering, retrieval optimisation, and model evaluation.
- Develop AI and machine learning pipelines using enterprise AI platforms.
- Work closely with Software Engineers to deploy AI models into production applications.
- Research emerging AI and machine learning technologies and recommend practical solutions for customer use cases.
- Document methodologies, experiments, and technical findings to support knowledge sharing and continuous improvement.
Required Qualifications & Experience
- Bachelor's Degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline.
- Minimum 3 years of experience in Data Science, Machine Learning, or Artificial Intelligence.
- Strong proficiency in Python for data science and machine learning.
- Solid understanding of supervised and unsupervised machine learning algorithms.
- Experience building predictive models using real-world datasets.
- Experience with feature engineering, model training, validation, and optimisation.
- Strong knowledge of statistics, probability, and data analysis techniques.
- Experience with SQL and data querying.
- Experience using Git and collaborative development workflows.
- Strong analytical thinking and problem-solving skills.
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
Experience in one or more of the following areas is highly desirable.
Machine Learning & Data Science- Predictive Analytics
- Classification, Regression, Clustering, Forecasting, Recommendation Systems
- Time Series Analysis
- Feature Engineering
- Model Evaluation and Optimisation
- Statistical Modelling
- Natural Language Processing (NLP)
- Computer Vision
- Explainable AI (XAI)
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents and Agentic Workflows
- Prompt Engineering
- AI Evaluation Frameworks
- Embeddings and Semantic Search
- Vector Databases
- Databricks
- Dataiku
- Snowflake
- Microsoft Fabric
- Azure Machine Learning
- AWS SageMaker
- MLflow
- MLOps pipelines
- Model deployment and monitoring
- Scikit-learn
- TensorFlow or PyTorch
- Pandas and NumPy
- Docker
- Azure or AWS
- CI/CD for machine learning solutions
Workplace type:
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune
Global 100. We are committed to accelerating client success and positively impacting society through
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
application services. Our consulting and industry solutions help organizations and society move
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
year in R&D.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
Third parties fraudulently posing as NTT DATA recruiters
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.
Skills Required
- Bachelor's degree in Data Science, Computer Science, AI, Statistics, Mathematics, Engineering, or related field
- Minimum 3 years of experience in Data Science, Machine Learning, or Artificial Intelligence
- Proficiency in Python for data science and machine learning
- Solid understanding of supervised and unsupervised machine learning algorithms
- Experience building predictive models using real-world datasets
- Experience with feature engineering, model training, validation, and optimization
- Strong knowledge of statistics, probability, and data analysis techniques
- Experience with SQL and data querying
- Experience using Git and collaborative development workflows
- Strong analytical thinking and problem-solving skills
- Excellent communication skills to explain technical concepts to technical and non-technical stakeholders
- Predictive analytics, classification, regression, clustering, forecasting, recommendation systems expertise
- Time series analysis and statistical modelling experience
- NLP, computer vision, or Explainable AI (XAI) experience
- Experience with LLMs, RAG, prompt engineering, embeddings, and semantic search
- Familiarity with AI agents, agentic workflows, and AI evaluation frameworks
- Experience with Databricks, Dataiku, Snowflake, Microsoft Fabric, Azure ML, or AWS SageMaker
- Experience with MLflow, MLOps pipelines, model deployment and monitoring
- Experience with scikit-learn, TensorFlow or PyTorch, Pandas, and NumPy
- Experience with Docker, Azure or AWS cloud, and CI/CD for ML solutions
NTT DATA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NTT DATA and has not been reviewed or approved by NTT DATA.
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Fair & Transparent Compensation — Feedback suggests salary bands and grades are clearly defined, making ranges and promotion criteria easier to understand. Standardized HR processes provide visibility into levels across common delivery roles.
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Healthcare Strength — Feedback suggests the package includes comprehensive medical, dental, and vision options with HSA/FSA eligibility. Global materials emphasize comprehensive insurance and wellbeing as baseline offerings across regions.
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Wellbeing & Lifestyle Benefits — Flexible work options, including remote/hybrid arrangements, are highlighted as core benefits and can support work–life balance. Some delivery teams report more manageable hours than strategy consultancies, improving perceived value for time.
NTT DATA Insights
What We Do
NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity
